Job Description
Are you ready to define the future of technology in 2026? Nebula Dynamics is a premier think-tank and tech firm pioneering the next generation of artificial intelligence and quantum-ready infrastructure. We are looking for a visionary Senior AI Infrastructure Architect to lead our ambitious roadmap.
In this role, you won't just maintain systems; you will architect the foundational layers of tomorrow's intelligence. You will bridge the gap between cutting-edge machine learning research and scalable, production-grade cloud infrastructure. If you thrive in a high-performance environment and are obsessed with scalability, latency optimization, and ethical AI implementation, we want to meet you.
Why Join Us?
- Work on projects that define the 2026 technological landscape.
- Competitive equity package and performance bonuses.
- State-of-the-art equipment and remote-first flexibility.
- Collaborate with world-class engineers and researchers.
Responsibilities
- Design and deploy scalable, fault-tolerant infrastructure for large-scale Machine Learning and Generative AI workloads.
- Oversee the migration to quantum-ready cloud environments and edge computing architectures.
- Optimize deep learning model inference pipelines to reduce latency and maximize throughput.
- Implement robust security protocols and data governance frameworks for sensitive AI models.
- Collaborate with data scientists to translate research prototypes into production-grade software.
- Establish best practices for CI/CD pipelines specifically for AI model deployment.
Qualifications
- 10+ years of experience in systems architecture, with a strong focus on AI/ML infrastructure.
- Expert proficiency in Python, C++, and Go.
- Deep understanding of Kubernetes, Docker, and distributed systems.
- Experience with cloud platforms (AWS, GCP, or Azure) and serverless computing.
- Proven track record of optimizing GPU clusters and managing high-performance computing (HPC) resources.
- Strong grasp of AI ethics, data privacy laws, and responsible AI practices.
- Ph.D. or Master’s degree in Computer Science, Computational Mathematics, or a related field is preferred.